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Author (up) Lamsal, R.; Read, M.R.; Karunasekera, S.
Title A Twitter narrative of the COVID-19 pandemic in Australia Type Conference Article
Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023
Volume Issue Pages 353-370
Keywords Crisis Informatics; Situational Awareness; Topic Modeling; Granger Causality; Network Analysis
Abstract Social media platforms contain abundant data that can provide comprehensive knowledge of historical and real-time events. During crisis events, the use of social media peaks, as people discuss what they have seen, heard, or felt. Previous studies confirm the usefulness of such socially generated discussions for the public, first responders, and decision-makers to gain a better understanding of events as they unfold at the ground level. This study performs an extensive analysis of COVID-19-related Twitter discussions generated in Australia between January 2020, and October 2022. We explore the Australian Twitterverse by employing state-of-the-art approaches from both supervised and unsupervised domains to perform network analysis, topic modeling, sentiment analysis, and causality analysis. As the presented results provide a comprehensive understanding of the Australian Twitterverse during the COVID-19 pandemic, this study aims to explore the discussion dynamics to aid the development of future automated information systems for epidemic/pandemic management.
Address The University of Melbourne
Corporate Author Thesis
Publisher University of Nebraska at Omaha Place of Publication Omaha, USA Editor Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi
Language English Summary Language Original Title
Series Editor Hosssein Baharmand Series Title Abbreviated Series Title
Series Volume Series Issue Edition 1
ISSN ISBN Medium
Track Social Media for Crisis Management Expedition Conference
Notes http://dx.doi.org/10.59297/GQED8281 Approved no
Call Number ISCRAM @ idladmin @ Serial 2531
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